Matt Stine presents how combine Spring Boot, Spring Data, Spring Reactor, Spring XD, Hadoop and run them in the cloud.
Carlos Queiroz introduces the lambda architecture and showcases how it can be implemented with SpringXD, GemFireXD and Hadoop in a CDR(Call Detail Record) mining application.
This session describes architectural patterns for developing microservices: Service Decomposition, API Gateways, Stateless/Shared-Nothing Apps, Configuration and Backing Service Consumption, etc.
Cornelia Davis takes the Spring Trader application and makes (a few) modifications (mostly to config) to get it running on the same components in the cloud, specifically on the Cloud Foundry PaaS.
The session covers various GC tuning techniques, in particular focusing on tuning large scale JVM deployments and showing how to optimally size a platform for enhanced memory consumption.
Chris Swan takes a look at Docker: what it is, why it was chosen, how it became an established platform, and what it takes to package applications and application infrastructure for use with Docker.
Andrew Crump shows how to deploy and scale applications written in a variety of languages (including Clojure and Erlang) to Cloud Foundry.
Nic Williams discusses deploying Cloud Foundry on AWS or OpenStack using Bosh, a tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
Andy Piper discusses the current state of PaaS, and why its success lie in enabling developer productivity, openness and choice, considering Open Source in general, and Cloud Foundry in particular.
Andrew Crump and Chris Hedley discuss extending Cloud Foundry with your own services, including customization at deployment time, and common concerns such as security and user quotas.
Phil Webb offers tips and code samples on how to refactor existing code for the cloud, alternatives to the file system, compiling without the JDK, dealing with gateway timeouts and how to run Tomcat 7
Ramnivas Laddad sketches the architecture of Cloud Foundry, explaining how they manage to do hot swaps without application downtime, including lessons applicable in general distributed environments.